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My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more.

When the new ISO 9001:2015 certification standard was announced in late 2015, it made waves in manufacturing due to its heavy emphasis on risk management. In our experience, in helping companies become ISO 9001:2015 certified, we’ve seen first hand how the value of embracing a risk-averse culture and the other core aspects of ISO 9001:2015 extends to all aspects of operations.

The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

What is tribal knowledge and why should a company care? It is valuable, exclusive information stored only inside someone’s mind and communicated only verbally (if at all). The “someone” may have played an important role in an organization for decades and knows a thing or two that the company treasures yet cannot duplicate.

The value-add of blockchain for businesses is estimated to grow into the trillions by 2030. Experts believe product recalls alone—estimated to cost $8 million today—could be practically eliminated through improved track and traceability enabled by blockchain.

Convergence-enabled cyberattacks—where criminals exploit traditionally isolated operational technology (OT) devices through their new connections to the IT network—may be motivated by the desire to hijack and demand ransom for services, steal trade secrets through industrial or national cyberespionage, or commit cyberterrorism or engage in cyberwarfare.